Title |
Report of RILEM TC 281-CCC: insights into factors affecting the carbonation rate of concrete with SCMs revealed from data mining and machine learning approaches |
---|---|
Involved |
Anya Vollpracht (Verfasser)
G. J. G. Gluth (Verfasser) B. Rogiers (Verfasser) I. D. Uwanuakwa (Verfasser)
Quoc Tri Phung (Verfasser)
Y. Villagran Zaccardi (Verfasser) Charlotte Thiel (Verfasser) H. Vanoutrive (Verfasser) J. M. Etcheverry (Verfasser) E. Gruyaert (Verfasser) S. Kamali-Bernard (Verfasser) A. Kanellopoulos (Verfasser) Z. Zhao (Verfasser) I. M. Martins (Verfasser) S. Rathnarajan (Verfasser) Nele De Belie (Verfasser) SpringerLink (Online service) (Sonstige) |
Published in |
Materials and structures = Matériaux et constructions 57, 9, 23.10.2024, date:11.2024, Seite 1-33 |
Published |
2024 |
Language |
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Country |
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Topic |
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Subject |
Solid Mechanics.
Materials Science. Mechanical Engineering. Machines, Tools, Processes.
Civil Engineering.
Building Materials. |
DDC notation |
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Persistent identifier |
urn:nbn:de:101:1-2501282118060.148499694107 (URN) |
Record ID |
1354661109 |
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